import os
API_KEY = os.getenv("FRED_API_KEY")  # Recomendado
# o directamente para pruebas:
# API_KEY = "TU_API_KEY_AQUI"

{
  "realtime_start": "2026-06-01",
  "realtime_end": "2026-06-01",
  "observation_start": "1954-07-01",
  "observation_end": "2026-06-01",
  "units": "lin",
  "count": 864,
  "observations": [
    {
      "realtime_start": "2026-06-01",
      "realtime_end": "2026-06-01",
      "date": "1954-07-01",
      "value": "."
    },
    {
      "realtime_start": "2026-06-01",
      "realtime_end": "2026-06-01",
      "date": "1954-10-01",
      "value": "126.8"
    }
  ]
}

import requests

API_KEY = "TU_API_KEY"
url = "https://api.stlouisfed.org/fred/series/observations"
params = {
    "series_id": "GDP",
    "api_key": API_KEY,
    "file_type": "json",
    "observation_start": "2020-01-01",
    "observation_end": "2025-12-31"
}
r = requests.get(url, params=params)
data = r.json()
for obs in data["observations"]:
    if obs["value"] != ".":
        print(obs["date"], obs["value"])

params = {
    "api_key": API_KEY,
    "file_type": "json",
    "search_text": "inflation",
    "search_type": "full_text",  # o "series_id"
    "limit": 10
}
r = requests.get("https://api.stlouisfed.org/fred/series/search", params=params)

import pandas as pd
import requests

def fetch_fred(series_id, api_key, start="2020-01-01"):
    url = "https://api.stlouisfed.org/fred/series/observations"
    params = {"series_id": series_id, "api_key": api_key,
              "file_type": "json", "observation_start": start}
    r = requests.get(url, params=params)
    df = pd.DataFrame(r.json()["observations"])
    df["date"] = pd.to_datetime(df["date"])
    df["value"] = pd.to_numeric(df["value"], errors="coerce")
    return df.set_index("date")["value"]

gdp = fetch_fred("GDP", API_KEY)
cpi = fetch_fred("CPIAUCSL", API_KEY)
fedfunds = fetch_fred("FEDFUNDS", API_KEY)